{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/metric-definitions"},"x-facet":{"type":"skill","slug":"metric-definitions","display":"Metric Definitions","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5a29684d-d2d"},"title":"Senior Analytics Developer - Platform Analytics","description":"<p>We&#39;re looking for a Senior Analytics Engineer to join our Platform Analytics team. In this role, you&#39;ll design and evolve core analytical data models that power trusted, self-service analytics across Elastic. You&#39;ll shape the underlying structure of our analytics layer,aligning definitions, improving usability, and enabling faster, more reliable insights for teams across the company.</p>\n<p>This role goes beyond delivering within existing patterns. You&#39;ll improve foundational modeling decisions, reducing rework, and establishing standards that scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design and build core analytical data models in BigQuery using dbt</li>\n<li>Refactor and restructure existing models to improve clarity, consistency, and ease of use</li>\n<li>Partner directly with solution teams to translate business needs into well-defined, reusable data models</li>\n<li>Define and enforce modeling standards, conventions, and layer contracts</li>\n<li>Standardize identifiers and business logic early in the transformation layer to reduce downstream complexity</li>\n<li>Centralize shared business rules and definitions to enable consistent, trusted analytics</li>\n<li>Explore and apply AI-assisted approaches, to improve analytics workflows</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong expertise in Python and SQL and analytics data modeling</li>\n<li>5+ years of experience in analytics engineering, data engineering, or a related role</li>\n<li>Hands-on experience designing analytics layers in BigQuery and dbt</li>\n<li>Proven ability to create analyst-friendly data models with clear structure and predictable behavior</li>\n<li>Experience setting standards and influencing how data is modeled and consumed across teams</li>\n<li>Strong analytical thinking and problem-solving skills</li>\n<li>Clear written and verbal communication skills</li>\n</ul>\n<p><strong>Bonus Points</strong></p>\n<ul>\n<li>Experience working in a distributed or remote-first environment</li>\n<li>Familiarity with metric definitions, or semantic layers</li>\n<li>Experience applying AI or automation to analytics or data modeling workflows</li>\n</ul>\n<p>Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5a29684d-d2d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic, the Search AI Company","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7614524","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$128,300-$203,000 CAD","x-skills-required":["Python","SQL","analytics data modeling","BigQuery","dbt","AI-assisted approaches"],"x-skills-preferred":["metric definitions","semantic layers","AI or automation"],"datePosted":"2026-04-18T15:46:47.387Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, analytics data modeling, BigQuery, dbt, AI-assisted approaches, metric definitions, semantic layers, AI or automation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":128300,"maxValue":203000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b7b9bbb-cd9"},"title":"Product Manager EA Player Relationship Management","description":"<p><strong>Position Overview</strong></p>\n<p>At Electronic Arts, we&#39;re driving the strategy and implementation of important initiatives for EA&#39;s players to connect them to one another and to the games they love to play. These initiatives include the EA app and Franchise-specific webstores.</p>\n<p>As a Product Manager for Player Relationship Management, you will be the strategic architect of the player lifecycle. You will build systems that foster deep, long-term relationships with our global community. Your mission is to turn every player interaction into a meaningful, personalized experience that drives loyalty and growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lifecycle Strategy: Own the end-to-end player lifecycle strategy, focusing on deeper engagement, retention, and monetization.</li>\n<li>CRM &amp; Automation: Define the roadmap for player-facing CRM tools, automated messaging, and bespoke experiences (e.g. VIP) for our most engaged community.</li>\n<li>Data-Driven Personalization: Sophisticated player segmentation targeting and personalized game content.</li>\n<li>Cross-Functional Collaboration: Collaborate with Marketing and Game Studios to ensure events and communication plans are aligned with key in-game and regional moments.</li>\n<li>Experimentation: Design and execute A/B tests on engagement features, reward structures, and notification strategies to optimize player lifetime value (LTV).</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Experience: 3-5 years of Product Management experience, ideally within gaming.</li>\n<li>Domain Expertise: Understanding of consumer/user lifecycle, and/or CRM systems.</li>\n<li>Analytical Rigor: Metric definitions, analytical tooling and interpretation of complex behavioral data and trends.</li>\n<li>Communication: Ability to translate complex technical or data insights into actionable strategies for both creative and technical teams.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6b7b9bbb-cd9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Product-Manager/212497","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$100,000 - $139,500 CAD","x-skills-required":["Product Management","Gaming","CRM","Automation","Data-Driven Personalization","Cross-Functional Collaboration","Experimentation"],"x-skills-preferred":["Analytical Rigor","Metric definitions","Analytical tooling","Complex behavioral data and trends"],"datePosted":"2026-03-09T10:59:18.560Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Gaming, CRM, Automation, Data-Driven Personalization, Cross-Functional Collaboration, Experimentation, Analytical Rigor, Metric definitions, Analytical tooling, Complex behavioral data and trends","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":139500,"unitText":"YEAR"}}}]}